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Symbolic Regression

producing a mathematical expression (symbolic expression) that fits a given tabular data.

Papers

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Showing 301–350 of 418 papers

TitleStatusHype
Symbolic Regression is NP-hard—0
Understanding Physical Effects for Effective Tool-use—0
Binary and Multinomial Classification through Evolutionary Symbolic Regression—0
Symbolic-Regression Boosting—0
Symbolic Regression in Materials Science: Discovering Interatomic Potentials from DataCode0
Symbolic Regression for Space Applications: Differentiable Cartesian Genetic Programming Powered by Multi-objective Memetic Algorithms—0
GSR: A Generalized Symbolic Regression Approach—0
Correlation versus RMSE Loss Functions in Symbolic Regression Tasks—0
Symbolic Expression Transformer: A Computer Vision Approach for Symbolic Regression—0
Taylor Genetic Programming for Symbolic Regression—0
Coefficient Mutation in the Gene-pool Optimal Mixing Evolutionary Algorithm for Symbolic Regression—0
Transformation-Interaction-Rational Representation for Symbolic RegressionCode0
Exploring Hidden Semantics in Neural Networks with Symbolic Regression—0
Automated Learning of Interpretable Models with Quantified Uncertainty—0
A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation—0
Failed Disruption Propagation in Integer Genetic Programming—0
Explainable Artificial Intelligence for Exhaust Gas Temperature of Turbofan Engines—0
Neural-Network-Directed Genetic Programmer for Discovery of Governing Equations—0
Evolvability Degeneration in Multi-Objective Genetic Programming for Symbolic Regression—0
A Reinforcement Learning Approach to Domain-Knowledge Inclusion Using Grammar Guided Symbolic RegressionCode0
Active Learning Improves Performance on Symbolic RegressionTasks in StackGP—0
Rediscovering orbital mechanics with machine learning—0
Deep Symbolic Regression for Recurrent Sequences—0
Augmenting astrophysical scaling relations with machine learning: application to reducing the Sunyaev-Zeldovich flux-mass scatterCode0
Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression—0
Accelerating Understanding of Scientific Experiments with End to End Symbolic Regression—0
A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics—0
Accelerating Genetic Programming using GPUsCode0
D-CODE: Discovering Closed-form ODEs from Observed Trajectories—0
Building the Building Blocks: From Simplification to Winning Trees in Genetic Programming—0
Interpreting Black-boxes Using Primitive Parameterized Functions—0
Cluster Analysis of a Symbolic Regression Search Space—0
Symbolic Regression by Exhaustive Search: Reducing the Search Space Using Syntactical Constraints and Efficient Semantic Structure Deduplication—0
Complexity Measures for Multi-objective Symbolic Regression—0
Data Aggregation for Reducing Training Data in Symbolic Regression—0
On the Effectiveness of Genetic Operations in Symbolic Regression—0
Smooth Symbolic Regression: Transformation of Symbolic Regression into a Real-valued Optimization Problem—0
Hash-Based Tree Similarity and Simplification in Genetic Programming for Symbolic Regression—0
Using Shape Constraints for Improving Symbolic Regression Models—0
Incorporating domain knowledge into neural-guided search—0
Predicting Friction System Performance with Symbolic Regression and Genetic Programming with Factor Variables—0
Machine learning of Kondo physics using variational autoencoders and symbolic regressionCode0
Identification of Dynamical Systems using Symbolic Regression—0
Inferring the Structure of Ordinary Differential Equations—0
A data-based comparative review and AI-driven symbolic model for longitudinal dispersion coefficient in natural streams—0
Incorporating domain knowledge into neural-guided search via in situ priors and constraints—0
Physical Constraint Embedded Neural Networks for inference and noise regulation—0
A Symbolic Regression Method for Dynamic Modeling and Control of Quadrotor UAVs—0
Distilling Wikipedia mathematical knowledge into neural network models—0
An Approach to Symbolic Regression Using Feyn—0
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